10331462

Cloud Computing Platform That Executes Third-Party Code in A Distributed Cloud Computing Network

PublishedJune 25, 2019
Assigneenot available in USPTO data we have
Technical Abstract

Patent Claims
24 claims

Legal claims defining the scope of protection, as filed with the USPTO.

1

1. A method, comprising: receiving, at a first one of a plurality of compute servers from a client device, a request that triggers execution of a first one of a plurality of third-party code pieces, wherein the first compute server is one of the plurality of compute servers that are part of a distributed cloud computing network, and wherein the request is an HTTP request and directed to a zone; executing, by a single process at the first one of the plurality of compute servers, the first one of the plurality of third-party code pieces, wherein the first one of the plurality of third-party code pieces is run in a first one of a plurality of isolated execution environments, wherein each of the other plurality of third-party code pieces are run in the other plurality of isolated execution environments respectively and executed by the single process; generating a response to the request based at least in part on the executed first one of the plurality of third-party code pieces; and transmitting the generated response to the client device.

2

2. The method of claim 1 , wherein executing the first one of the plurality of third-party code pieces causes a subrequest to be generated and transmitted to an origin server of the zone.

3

3. The method of claim 1 , wherein generating the response is performed without transmitting a request to an origin server of the zone.

4

4. The method of claim 1 , further comprising: determining the request triggers execution of the first one of the plurality of third-party code pieces by matching the zone to a predetermined matching pattern that associates the first one of the plurality of third-party code pieces to the predetermined matching pattern.

5

5. The method of claim 1 , wherein each of the plurality of compute servers are anycasted to a same IP address, and wherein the first one of the plurality of compute servers receives the request because it is closest one of the plurality of compute servers to the client device as determined by an anycast implementation.

6

6. The method of claim 1 , wherein the first one of the plurality of third-party code pieces is provided by an owner or operator of the zone.

7

7. The method of claim 1 , further comprising: wherein executing the first one of the plurality of third-party code pieces causes a subrequest to be generated that triggers execution of a second one of the plurality of third-party code pieces; executing, by the single process at the first one of the plurality of compute servers, the second one of the plurality of third-party code pieces; and wherein the response to the request is further generated at least in part on the executed second one of the plurality of third-party code pieces.

8

8. The method of claim 1 , wherein each of the plurality of compute servers include the plurality of third-party code pieces.

9

9. A non-transitory machine-readable storage medium of a first one of a plurality of compute servers that provides instructions that, when executed by a processor, cause the processor to perform operations comprising: receiving, at the first one of a plurality of compute servers from a client device, a request that triggers execution of a first one of a plurality of third-party code pieces, wherein the first compute server is one of the plurality of compute servers that are part of a distributed cloud computing network, and wherein the request is an HTTP request and directed to a zone; executing, by a single process at the first one of the plurality of compute servers, the first one of the plurality of third-party code pieces, wherein the first one of the plurality of third-party code pieces is run in a first one of a plurality of isolated execution environments, wherein each of the other plurality of third-party code pieces are run in the other plurality of isolated execution environments respectively and executed by the single process; generating a response to the request based at least in part on the executed first one of the plurality of third-party code pieces; and transmitting the generated response to the client device.

10

10. The non-transitory machine-readable storage medium of claim 9 , wherein executing the first one of the plurality of third-party code pieces causes a subrequest to be generated and transmitted to an origin server of the zone.

11

11. The non-transitory machine-readable storage medium of claim 9 , wherein generating the response is performed without transmitting a request to an origin server of the zone.

12

12. The non-transitory machine-readable storage medium of claim 9 , wherein the operations further comprise: determining the request triggers execution of the first one of the plurality of third-party code pieces by matching the zone to a predetermined matching pattern that associates the first one of the plurality of third-party code pieces to the predetermined matching pattern.

13

13. The non-transitory machine-readable storage medium of claim 9 , wherein each of the plurality of compute servers are anycasted to a same IP address, and wherein the first one of the plurality of compute servers receives the request because it is closest one of the plurality of compute servers to the client device as determined by an anycast implementation.

14

14. The non-transitory machine-readable storage medium of claim 9 , wherein the first one of the plurality of third-party code pieces is provided by an owner or operator of the zone.

15

15. The non-transitory machine-readable storage medium of claim 9 , wherein the operations further comprise: wherein executing the first one of the plurality of third-party code pieces causes a subrequest to be generated that triggers execution of a second one of the plurality of third-party code pieces; executing, by the single process at the first one of the plurality of compute servers, the second one of the plurality of third-party code pieces; and wherein the response to the request is further generated at least in part on the executed second one of the plurality of third-party code pieces.

16

16. The non-transitory machine-readable storage medium of claim 9 , wherein each of the plurality of compute servers include the plurality of third-party code pieces.

17

17. A first compute server, comprising: a set of one or more processors; and a non-transitory machine-readable storage medium that provides instructions that, when executed by the set of processors, cause the set of processors to perform the following operations: receive, at the first one of a plurality of compute servers from a client device, a request that triggers execution of a first one of a plurality of third-party code pieces, wherein the first compute server is one of the plurality of compute servers that are part of a distributed cloud computing network, and wherein the request is an HTTP request and directed to a zone; execute, by a single process at the first one of the plurality of compute servers, the first one of the plurality of third-party code pieces, wherein the first one of the plurality of third-party code pieces is run in a first one of a plurality of isolated execution environments, wherein each of the other plurality of third-party code pieces are run in the other plurality of isolated execution environments respectively and executed by the single process; generate a response to the request based at least in part on the executed first one of the plurality of third-party code pieces; and transmit the generated response to the client device.

18

18. The first compute server of claim 17 , wherein execution of the first one of the plurality of third-party code pieces causes a subrequest to be generated and transmitted to an origin server of the zone.

19

19. The first compute server of claim 17 , wherein generation of the response is to be performed without transmitting a request to an origin server of the zone.

20

20. The first compute server of claim 17 , wherein the operations further include: determine the request triggers execution of the first one of the plurality of third-party code pieces by matching the zone to a predetermined matching pattern that associates the first one of the plurality of third-party code pieces to the predetermined matching pattern.

21

21. The first compute server of claim 17 , wherein each of the plurality of compute servers are to be anycasted to a same IP address, and wherein the first one of the plurality of compute servers is to receive the request because it is closest one of the plurality of compute servers to the client device as determined by an anycast implementation.

22

22. The first compute server of claim 17 , wherein the first one of the plurality of third-party code pieces is to be provided by an owner or operator of the zone.

23

23. The first compute server of claim 17 , wherein the operations further include: wherein execution of the first one of the plurality of third-party code pieces causes a subrequest to be generated that triggers execution of a second one of the plurality of third-party code pieces; execute, by the single process at the first one of the plurality of compute servers, the second one of the plurality of third-party code pieces; and wherein the response to the request is further to be generated at least in part on the executed second one of the plurality of third-party code pieces.

24

24. The first compute server of claim 17 , wherein each of the plurality of compute servers is to include the plurality of third-party code pieces.

Patent Metadata

Filing Date

Unknown

Publication Date

June 25, 2019

Inventors

Kenton Taylor Varda
Zachary Aaron Bloom
Marek Przemyslaw Majkowski
Ingvar Stepanyan
Kyle Kloepper
Dane Orion Knecht
John Graham-Cumming
Dani Grant

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Cite as: Patentable. “Cloud Computing Platform That Executes Third-Party Code in A Distributed Cloud Computing Network” (10331462). https://patentable.app/patents/10331462

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Cloud Computing Platform That Executes Third-Party Code in A Distributed Cloud Computing Network — Kenton Taylor Varda | Patentable